Deep Learning Nomogram for the Identification of Deep Stromal Invasion in Patients With Early‐Stage Cervical Adenocarcinoma and Adenosquamous Carcinoma: A Multicenter Study

列线图 医学 腺鳞癌 放射科 阶段(地层学) 腺癌 肿瘤科 内科学 癌症 生物 古生物学
作者
Mei Xiao,Ting Qian,Le Fu,Wei Yan,Hua Feng,Wei Yong Gu,Hai Ming Li,Yong Ai Li,Zhao Qian,Jie Cheng,Guofu Zhang,Jinwei Qiang
出处
期刊:Journal of Magnetic Resonance Imaging [Wiley]
卷期号:59 (4): 1394-1406 被引量:5
标识
DOI:10.1002/jmri.28882
摘要

Background Deep stromal invasion (DSI) is one of the predominant risk factors that determined the types of radical hysterectomy (RH). Thus, the accurate assessment of DSI in cervical adenocarcinoma (AC)/adenosquamous carcinoma (ASC) can facilitate optimal therapy decision. Purpose To develop a nomogram to identify DSI in cervical AC/ASC. Study Type Retrospective. Population Six hundred and fifty patients (mean age of 48.2 years) were collected from center 1 (primary cohort, 536), centers 2 and 3 (external validation cohorts 1 and 2, 62 and 52). Field Strength/Sequence 5‐T , T2 ‐weighted imaging ( T2WI , SE / FSE ), diffusion‐weighted imaging ( DWI , EPI ), and contrast‐enhanced T1 ‐weighted imaging ( CE‐T1WI , VIBE / LAVA ). Assessment The DSI was defined as the outer 1/3 stromal invasion on pathology. The region of interest (ROI) contained the tumor and 3 mm peritumoral area. The ROIs of T2WI, DWI, and CE‐T1WI were separately imported into Resnet18 to calculate the DL scores (TDS, DDS, and CDS). The clinical characteristics were retrieved from medical records or MRI data assessment. The clinical model and nomogram were constructed by integrating clinical independent risk factors only and further combining DL scores based on primary cohort and were validated in two external validation cohorts. Statistical Tests Student's t ‐test, Mann–Whitney U test, or Chi‐squared test were used to compare differences in continuous or categorical variables between DSI‐positive and DSI‐negative groups. DeLong test was used to compare AU‐ROC values of DL scores, clinical model, and nomogram. Results The nomogram integrating menopause, disruption of cervical stromal ring (DCSRMR), DDS, and TDS achieved AU‐ROCs of 0.933, 0.807, and 0.817 in evaluating DSI in primary and external validation cohorts. The nomogram had superior diagnostic ability to clinical model and DL scores in primary cohort (all P < 0.0125 [0.05/4]) and CDS ( P = 0.009) in external validation cohort 2. Data Conclusion The nomogram achieved good performance for evaluating DSI in cervical AC/ASC. Level of Evidence 3 Technical Efficacy Stage 2
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
XHH完成签到 ,获得积分0
刚刚
小蘑菇应助sv采纳,获得10
1秒前
欢呼橘子完成签到 ,获得积分10
1秒前
季夏完成签到,获得积分10
1秒前
喜悦成威发布了新的文献求助20
1秒前
大菠萝发布了新的文献求助10
2秒前
2秒前
德德发布了新的文献求助10
2秒前
天天快乐应助Silence采纳,获得10
3秒前
深爱不疑发布了新的文献求助200
3秒前
可爱的函函应助九川采纳,获得10
3秒前
科研通AI5应助端庄的黑米采纳,获得30
4秒前
md03393完成签到,获得积分10
4秒前
苏照杭应助snowdrift采纳,获得10
4秒前
esbd完成签到,获得积分10
5秒前
愉快之槐完成签到,获得积分10
5秒前
顺利涵菡发布了新的文献求助10
5秒前
Jenny应助拼搏思卉采纳,获得10
6秒前
6秒前
静时发布了新的文献求助10
6秒前
6秒前
JJlv完成签到,获得积分10
7秒前
7秒前
RMY完成签到 ,获得积分10
7秒前
8秒前
艺成成完成签到 ,获得积分10
8秒前
斯文败类应助大菠萝采纳,获得10
9秒前
一汁蟹完成签到,获得积分10
9秒前
jucy完成签到,获得积分10
9秒前
10秒前
科研通AI2S应助zyh采纳,获得10
10秒前
榆木小鸟完成签到 ,获得积分10
10秒前
科研通AI5应助徐徐采纳,获得10
10秒前
11秒前
11秒前
zee完成签到 ,获得积分20
11秒前
单薄明雪完成签到,获得积分10
11秒前
12秒前
万能图书馆应助Godspeed采纳,获得10
12秒前
孟陬十一发布了新的文献求助10
12秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527742
求助须知:如何正确求助?哪些是违规求助? 3107867
关于积分的说明 9286956
捐赠科研通 2805612
什么是DOI,文献DOI怎么找? 1540026
邀请新用户注册赠送积分活动 716884
科研通“疑难数据库(出版商)”最低求助积分说明 709762